Computer modeling
Computer modeling

Computer modeling

Artificial Intelligence Awards, honors and fellowships Civil and environmental engineering Computer modeling Education, teaching, academics Faculty K-12 education Mechanical engineering MIT Schwarzman College of Computing School of Engineering

Markus Buehler receives 2025 Washington Award

Materials scientist is honored for his academic leadership and innovative research that bridge engineering and nature.

Algorithms Artificial Intelligence Biology Cells Collaboration Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Disease Electrical engineering and computer science (EECS) Health sciences and technology machine learning MIT Schwarzman College of Computing Proteins Research School of Engineering School of Science Whitehead Institute

AI model deciphers the code in proteins that tells them where to go

Whitehead Institute and CSAIL researchers created a machine-learning model to predict and generate protein localization, with implications for understanding and remedying disease.

Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mathematics MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering

Validation technique could help scientists make more accurate forecasts

MIT researchers developed a new approach for assessing predictions with a spatial dimension, like forecasting weather or mapping air pollution.

Artificial Intelligence Automobiles Computer modeling Data Design Electric vehicles Energy efficiency Fluid dynamics machine learning Mechanical engineering Research School of Engineering

Want to design the car of the future? Here are 8,000 designs to get you started.

MIT engineers developed the largest open-source dataset of car designs, including their aerodynamics, that could speed design of eco-friendly cars and electric vehicles.

Algorithms Artificial Intelligence Climate change Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Environment MIT Schwarzman College of Computing Plants Research School of Engineering Sustainability Urban studies and planning

Advancing urban tree monitoring with AI-powered digital twins

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

Algorithms Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Faculty machine learning MIT Schwarzman College of Computing Profile School of Engineering Social networks

Modeling relationships to solve complex problems efficiently

Associate Professor Julian Shun develops high-performance algorithms and frameworks for large-scale graph processing.

Artificial Intelligence Computer modeling DMSE Electrical Engineering & Computer Science (eecs) machine learning Materials science and engineering Metals Research School of Engineering

Machine learning unlocks secrets to advanced alloys

An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.

Artificial Intelligence Climate Climate change Computer modeling Data EAPS machine learning Natural disasters Policy Research School of Science Weather modeling

Making climate models relevant for local decision-makers

A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.

Artificial Intelligence Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning Mathematics MIT Schwarzman College of Computing Physics Research School of Engineering School of Science

Scientists use generative AI to answer complex questions in physics

A new technique that can automatically classify phases of physical systems could help scientists investigate novel materials.